IMPORTANT NOTE TO CANDIDATES
We strongly encourage engineers with strong Python programming skills and an interest in video processing to apply, even if you don't have professional experience in streaming or video processing. If you're passionate about sports, love solving complex technical challenges, and have a solid foundation in Python development, we want to hear from you!
Job Description
As an AI Engineer at HomeTeam Network, you'll be at the forefront of developing solutions that power our AI‑complete sports broadcasting platform. You'll work on cutting‑edge computer vision and machine learning systems that automatically track players, detect game events, and generate broadcast‑ready content in real‑time.
Location
Saskatchewan – For business reasons the Candidate must live in the Province of Saskatchewan. If you're willing to relocate to Saskatchewan within 30 days without additional financial assistance let us know. Already being there is a plus!
Job Type
Full‑time
Salary
Up to 90k
What You’ll Do
- Implement and optimize computer vision models for real‑time player tracking, action recognition, and game state detection in sports video
- Build ML inference pipelines using ONNX Runtime and TensorRT for GPU‑accelerated model deployment
- Develop multiprocess video processing pipelines for high‑throughput RTMP / RTSP / SRT streams
- Integrate AI systems with AWS infrastructure (ECS, Lambda, Step Functions, EventBridge) and cloud deployment workflows
- Optimize real‑time video processing performance using FFmpeg, OpenCV, and CUDA
- Deploy and monitor AI models in cloud‑native production using cloud platforms and Weights & Biases for end‑to‑end observability
- Create testing frameworks to validate model accuracy and pipeline reliability
- Collaborate with DevOps on infrastructure‑as‑code using Terraform for AWS and GCP deployments
- Research and implement emerging AI technologies to improve our platform
Required Skills & Experience
1-3 years of software development experience (AI / ML focus preferred)Strong Python programming skills with experience in :
Deep learning inference frameworks (ONNX Runtime, TensorRT)Computer vision libraries (OpenCV, torchvision)Data processing and numerical computing (NumPy, Pandas)Multiprocessing and concurrent programmingUnderstanding of ML fundamentals and neural network architecturesExperience with Git and collaborative development practicesBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)Ability to troubleshoot complex technical issues in production systemsExcellent communication and teamwork skillsNice‑to‑Have Qualifications
Experience with video streaming protocols (RTMP, RTSP, SRT) and FFmpegKnowledge of real‑time system optimization and low‑latency processingExperience with cloud infrastructure (AWS ECS, Lambda, Step Functions, or GCP equivalents)Understanding of MLOps practices and model deployment pipelinesFamiliarity with infrastructure‑as‑code tools (Terraform)Experience with experiment tracking tools (Weights & Biases, MLflow)Published research in computer vision or machine learningJoin Us
Join us at HomeTeam Live and be part of redefining the future of live events. We offer a supportive team environment, and opportunities for growth and development. Be a part of our success and apply today!
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